Overview

Paper Search MCP enables querying academic papers across multiple platforms—arXiv, PubMed, IEEE Xplore, Scopus, ACM Digital Library, and Semantic Scholar—delivering a unified search experience for literature reviews. By specifying keywords, authors, or topics, you can surface publications quickly and compare results across sources.

How This Skill Works

Use the mcp__paper-search__* tools to perform searches by keywords, authors, or topics. The skill queries multiple platforms, aggregates results, and returns a consolidated list with platform context for easy filtering and review.

When to Use It

• You want the latest arXiv preprints on a topic like quantum computing.
• You need biomedical literature from PubMed for a clinical topic.
• You're comparing engineering papers across IEEE Xplore and ACM Digital Library.
• You’re conducting a multidisciplinary search via Scopus and Semantic Scholar.
• You’re assembling a literature list by searching multiple platforms for a comprehensive review.

Quick Start

1. Step 1: Use mcp__paper-search__* with keywords, authors, or topics.
2. Step 2: Filter results by platform and/or year to focus your set.
3. Step 3: Open top papers to review abstracts and export citations for your bibliography.

Best Practices

• Start with broad keywords and then narrow down with more specific terms.
• Use platform-specific terms (e.g., arXiv categories, PubMed MeSH, IEEE keywords) for deeper results.
• Combine results from multiple sources to ensure comprehensive coverage.
• Filter by year, author, or publication type to refine results.
• Save or export citations and note platform context for each result.

Example Use Cases

• Search 'quantum machine learning' across arXiv, IEEE Xplore, and Scopus to compare preprints and journal papers.
• Look up 'machine learning in radiology' on PubMed and Semantic Scholar to gather clinical papers and AI studies.
• Survey 'natural language processing' by author 'John Doe' across ACM Digital Library and Semantic Scholar.
• Compile literature on 'graph neural networks' by year and platform (arXiv, Scopus) for a trend analysis.
• Cross-check 'bioinformatics' topics across PubMed and IEEE Xplore for interdisciplinary research.

Frequently Asked Questions